convex-doctor

convex-doctor is a cursor rule for Cursor from waynesutton/markdown-site. It costs 714 tokens per session, scanned A, original, MIT.

A set of code-quality and security rules for Convex, a backend platform for database functions, actions, and HTTP endpoints. The rules cover how server calls, authentication, queries, indexes, and data loading should be written.

In plain words
What is it for?
It guides the writing and review of Convex queries, mutations, actions, HTTP endpoints, internal calls, index lookups, result limits, and background jobs.
Why use it?
It helps prevent security gaps, broken caching or reactivity, inefficient database reads, and regressions in a codebase that follows these standards.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/waynesutton/markdown-site/convex-doctor
Clone the repo
git clone --depth 1 https://github.com/waynesutton/markdown-site

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for convex-doctor

README.md
[![agentmods](https://agentmods.dev/badge/rules/waynesutton/markdown-site/convex-doctor.svg)](https://agentmods.dev/rules/waynesutton/markdown-site/convex-doctor)
Your own site
<a href="https://agentmods.dev/rules/waynesutton/markdown-site/convex-doctor"><img src="https://agentmods.dev/badge/rules/waynesutton/markdown-site/convex-doctor.svg" alt="Measured on agentmods" height="20"></a>
Per session 714 This file is loaded in full into every session.
When invoked 714 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00714 $0.00714
Opus 5 $0.00357 $0.00357
Sonnet 5 $0.00143 $0.00143
Haiku 4.5 $0.00071 $0.00071

Measured 4d ago against content hash cedc24551c08, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

convex-doctor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/rules/convex-doctor.mdc · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Convex doctor code quality

This codebase maintains a 100/100 convex-doctor score. All new Convex code must follow these patterns to avoid regressions.

Security

  • Never use api.* for server-to-server calls. Always use internal.* references.
  • All HTTP actions and public endpoints must check authentication unless they are intentionally public (RSS, sitemap, CORS preflight).
  • Never expose Node actions directly to the browser. Use mutation-scheduled internal actions with a job table for status tracking.
  • Public functions use query, mutation, action. Internal functions use internalQuery, internalMutation, internalAction.

Correctness

  • Never use Date.now() inside a query function. It breaks caching and reactivity. Accept a now argument or compute timestamps in mutations/actions.
  • Use .unique() for lookups on indexes that enforce uniqueness by design. Use .first() only for intentional ordered picks where multiple rows are expected.
  • Never use .collect().filter(). Use .withIndex() and iterate directly, or use .take(n) for bounded results.

Performance

  • Bound all public .collect() calls with .take(n) or pagination.
  • Batch sequential ctx.runQuery and ctx.runMutation calls in actions. Create a single internal query that returns all needed data instead of making multiple separate calls.
  • Use indexes for all query patterns. Never scan full tables.
  • Avoid N+1 query patterns. Batch document fetches into internal queries that accept arrays of IDs.

Schema

  • Name indexes with by_ prefix and snake_case: by_slug, by_published, by_session_and_context.
  • Add indexes for foreign key fields that have query patterns against them.
  • Do not add indexes for foreign keys inside nested arrays (Convex cannot index into arrays).
  • Remove redundant indexes that are prefixes of existing compound indexes.

Architecture

  • Keep handlers focused. Extract helper functions for email templates, data transformation, and multi-step logic.
  • Per-handler auth checks are intentional in this codebase. Do not extract auth into middleware or shared wrappers.
  • Organize files by domain (posts, pages, newsletter, stats). Do not split purely for file size.
  • Use ConvexError instead of throw new Error(...) in user-facing handlers when the error message should reach the client.

Read the full file on GitHub · 67 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 67 lines · 714 tokens per session scan A cedc24551c08

Subscribe to this mod's changes

convex-doctor is a cursor rule published in the GitHub repository waynesutton/markdown-site (630 stars, last pushed 3mo ago), licensed MIT. It adds 714 tokens to every session, about $0.0036 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.